目录

1 What is supervised learning ?

(1)we teach the model then with that knowledge.it can predict unkown or future instances
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(2)Teaching the model with labeled data告诉模型数据和数据特征对应的标签
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(3)有两种类型的监督学习-Classification and Regression
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  • Classification is the process of predict discrete class labels or categories
  • Regerssion is the process of predicting continuous values

2 What is unsupervised learning?

(1)我们不用监督模型,让模型自己去挖掘特征和标签。The model works on its own to discover information .意味着无监督学习算法训练数据,然后得到一个未标签的数据。
(2)无监督学习技术

  • Dimension reduction
  • Density estimation发现数据结构
  • Market basket analysis
  • Clustering

3 What is clustering?

(1)Clustering is grouping of data points or objects that are somehow similar by

  • Discover structure
  • Summarization
  • Anomaly detection

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4 Supervised VS unsupervised learning

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